TELKOMNIKA Telecommunication, Computing, Electronics and Control
Agriculture data visualization and analysis using data mining techniques: application of unsupervised machine learning
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Agriculture data visualization and analysis using data mining techniques: application of unsupervised machine learning
Agriculture data visualization and analysis using data mining techniques: application of unsupervised machine learning
Subject
Big data, Distplot, Elbow method, Kernel density estimate, K-means, Principal component analysis
Description
Unsupervised machine learning is one of the accepted platforms for applying a broad data analytics challenge that involves the way to identify secret trends, unexplained associations, and other significant data from a wide dispersed dataset. The precise yield estimate for the various crops involved in the planning is a critical problem for agricultural planning. To achieve realistic and effective solutions to this problem, data mining techniques are an essential approach. Applying distplot combined with kernel density estimate (KDE) in this paper to visualize the probability density of disseminated datasets of vast crop deals for crop planning. This paper focuses on analyzing and segmenting agricultural data and determining optimal parameters to maximize crop yield using data mining techniques such as K-means clustering and principal component analysis (PCA).
Creator
Kunal Badapanda, Debani Prasad Mishra, Surender Reddy Salkuti
Source
DOI: 10.12928/TELKOMNIKA.v20i1.18938
Publisher
Universitas Ahmad Dahlan
Date
February 2022
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Kunal Badapanda, Debani Prasad Mishra, Surender Reddy Salkuti, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Agriculture data visualization and analysis using data mining techniques: application of unsupervised machine learning,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4253.
Agriculture data visualization and analysis using data mining techniques: application of unsupervised machine learning,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4253.